Ch 12 and13 Flashcards
Descriptive and inferential stats for bivariate and multivariate cases
Parametric statistics
Built in assumptions about distribution (like normal distribution, etc)
Non-parametric statistics
No assumptions
Frequency distribution
raw or relative cumulative distribution
Central tendency
Measure of the middle
Dispersion
Measure of spread
Nominal descriptive stats
Mode and variation ratio
Ordinal descriptive stats
Median and range
Interval/ratio descriptive stats
Mean and standard deviation
Z scores
express how far a given value is away from the mean through standard deviations
Types of claims
Descriptive, differences, relationship, causal effect
Type I error
H0 incorrectly rejected
Type II error
Fail to reject H0
Recoding variables
Reinterpreting them for use in statistical analysis
weakness of p value
doesnt account for size of data set or importance of relationship
Input into R of N/A cases
should specify to exclude; inserted as ±99 and will skew data